Department of Computer Science, Graduate School of SIE, University of Tsukuba
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Simulations of core-collapse supernovae in spatial axisymmetry with full Boltzmann neutrino transport
H Nagakura, W Iwakami, S Furusawa, H Okawa, A Harada, K Sumiyoshi, ...
The Astrophysical Journal 854 (2), 136, 2018
Three-dimensional Boltzmann-hydro code for core-collapse in massive stars. II. The implementation of moving-mesh for neutron star kicks
H Nagakura, W Iwakami, S Furusawa, K Sumiyoshi, S Yamada, ...
The Astrophysical Journal Supplement Series 229 (2), 42, 2017
A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems
A Imakura, L Du, T Sakurai
Applied Mathematics Letters 32, 22-27, 2014
An oversampling framework for imbalanced classification based on Laplacian eigenmaps
X Ye, H Li, A Imakura, T Sakurai
Neurocomputing 399, 107-116, 2020
Error bounds of Rayleigh–Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems
A Imakura, L Du, T Sakurai
Numerical Algorithms 71 (1), 103-120, 2016
Relationships among contour integral-based methods for solving generalized eigenvalue problems
A Imakura, L Du, T Sakurai
Japan Journal of Industrial and Applied Mathematics 33, 721-750, 2016
Data collaboration analysis framework using centralization of individual intermediate representations for distributed data sets
A Imakura, T Sakurai
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2020
Distributed Collaborative Feature Selection Based on Intermediate Representation.
X Ye, H Li, A Imakura, T Sakurai
IJCAI, 4142-4149, 2019
Interpretable collaborative data analysis on distributed data
A Imakura, H Inaba, Y Okada, T Sakurai
Expert Systems with Applications 177, 114891, 2021
Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems
A Imakura, T Sakurai
Numerical Algorithms 75, 413-433, 2017
Federated learning system without model sharing through integration of dimensional reduced data representations
A Bogdanova, A Nakai, Y Okada, A Imakura, T Sakurai
arXiv preprint arXiv:2011.06803, 2020
Complex moment-based supervised eigenmap for dimensionality reduction
A Imakura, M Matsuda, X Ye, T Sakurai
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3910-3918, 2019
Locally optimal and heavy ball GMRES methods
A Imakura, RC Li, SL Zhang
Japan Journal of Industrial and Applied Mathematics 33, 471-499, 2016
Collaborative data analysis: Non-model sharing-type machine learning for distributed data
A Imakura, X Ye, T Sakurai
Knowledge Management and Acquisition for Intelligent Systems: 17th Pacific …, 2021
Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
A Alvermann, A Basermann, HJ Bungartz, C Carbogno, D Ernst, H Fehske, ...
Japan Journal of Industrial and Applied Mathematics 36, 699-717, 2019
A parameter optimization technique for a weighted Jacobi-type preconditioner
A Imakura, T Sakurai, K Sumiyoshi, H Matsufuru
JSIAM Letters 4, 41-44, 2012
mdx: A cloud platform for supporting data science and cross-disciplinary research collaborations
T Suzumura, A Sugiki, H Takizawa, A Imakura, H Nakamura, K Taura, ...
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022
Fast algorithm for low-rank tensor completion in delay-embedded space
R Yamamoto, H Hontani, A Imakura, T Yokota
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Ensemble learning for spectral clustering
H Li, X Ye, A Imakura, T Sakurai
2020 IEEE International Conference on Data Mining (ICDM), 1094-1099, 2020
Block SS–CAA: a complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure
A Imakura, T Sakurai
Parallel Computing 74, 34-48, 2018
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